Master - Computer Science

Program Objectives

The Bachelor's in Organizational IT covers different aspects of information processing. It provides a solid preparation in IT, theoretical tools for the analysis of complex systems and skills for the business management sector.
Professionalization is particularly emphasized. The curriculum includes an internship and a requirement of two modern languages.

Program Objectives :

  • Offer high-level preparation in computer science on subjects such as decision-making and data sciences, artificial intelligence.
  • Emphasize quality professionalization with various industry speakers.
  • Foster the possibility of pursuing doctoral studies.

The degree is awarded by Université PSL and prepared at Université Paris Dauphine-PSL. Several academic paths are the fruit of a collaboration between Dauphine-PSL, l'École Normale Supérieure-PSL and Mines ParisTech PSL.

Organization of the Master’s Degree

Excellent, multi-disciplinary courses supported by a research laboratory specialising in Computer Science

Types of education
Initial and work-based training
Outgoing Level
BAC+5
Language(s)
French and English
Duration of studies
4 semesters (excluding the gap year)
ECTS Credits
120 credits
Type of Diploma
National diploma
Academic Year
2025/2026

After Dauphine ?

Employability Indicators After Graduation - Survey Conducted in Collaboration with CGE in 2024

- 1 Month

Job hunting's average duration

100 %

Professional integration rate after 6 months

45 000

Median salary


Primary Opportunities

  • Business Analyst - Applications Consultant
  • Decision Making IT Consultant
  • Data Scientist and Big Data Engineer
  • IT Project Manager Business 2
  • IT Consultant for Finance
  • Doctoral candidate in Computer Science

A dedicated team

  • André ROSSI

    University Professor - Head of Informatics

  • Hassan AISSI

    Associate professor, Head of 1st year of the Computer Science, Decision, Data Master's degree (IDD)

  • Olivier CAPPÉ

    Research director, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (initial training)

  • Benjamin NEGREVERGNE

    Associate professor, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (initial training)

  • Tristan CAZENAVE

    University Professor, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (IASD) (apprenticeship)

  • Dario COLAZZO

    University Professor, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (IASD) (apprenticeship)

  • Daniel VANDERPOOTEN

    University Professor, Head of 2nd year of the Modeling, Optimization, Decision and Organization Master's degree (MODO)